The cybersecurity defense stack is highly automated, but the communication stack remains a manual bottleneck. Security analysts spend up to 20% of their time performing manual data entry - querying siloed tools, extracting data points, and compiling them by hand into reports for leadership, auditors, or operational teams.

BlackStork fixes this by treating document generation as code.

We are an automated reporting engine built for SOC, CTI, IR, and compliance teams. BlackStork replaces manual data collation with a deterministic, repeatable pipeline:

• Data Extraction: native integrations connect directly to your existing security stack (SIEMs, TIPs, APIs) to query the exact structured data you need.
• Modular Templating: define your report layout using reusable, HCL-based configuration blocks to enforce standard formatting and brand consistency.
• Controlled AI: pass scoped data to LLMs to automatically draft incident narratives and executive summaries without starting from a blank page.

The engine evaluates your templates and renders standardized Markdown, HTML, or PDF documents.

By automating the reporting pipeline, BlackStork ensures stakeholders get consistent, high-quality intelligence, while allowing security engineers to focus on hunting threats and solving problems rather than manually compiling reports.

Available as a managed, collaborative SaaS platform, or as a source-available local execution engine (blackstork-cli).

🔗 Website: https://blackstork.io
💻 GitHub: https://github.com/blackstork-io/blackstork-cli
📖 Docs: https://blackstork.io/docs

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